Connexion

Blue Jackets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurJohn Tortorella
DivisionMetropolitain
ConférenceEast
Capitaine
Assistant #1Elias Lindholm
Assistant #2Nazem Kadri


Informations de l’aréna

NomNationwide Arena
Capacité18,144
Assistance
Billets de saison8,165


Informations de la formation

Équipe Pro20
Équipe Mineure25
Limite contact 45 / 60
Espoirs27


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible85,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel30,770,827$
Compte bancaire projeté30,770,827$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brandon Saad0XX100.006142958075738775377682763577827950002916,000,000$
2Craig Smith0X100.007844887975689073347273645480837450003223,100,000$
3Christian Dvorak0XX100.006742878471768278987972807967677650002644,450,000$
4Elias Lindholm (A)0XX100.007143918872849482948294824176768750002734,850,000$
5Nicolas Roy0XXX100.00765481797973907383757175756062745000253750,000$
6Jack Roslovic0XX100.006942948269689075777681692567677650002511,838,362$
7Joel Eriksson Ek0X100.008345888477799283857585792566678250002515,250,000$
8Nazem Kadri (A)0X100.006966728571818997889387684676788450003134,500,000$
9Roope Hintz0XX100.00754489898278868286819169256464845000251811,667$
10Tanner Pearson0X100.007764868075738575387472714171717550002913,750,000$
11Frank Vatrano0XX100.007543908270658965416576642569707350002822,533,333$
12Pavel Zacha0XX100.007644908279758678697572686366667450002512,250,000$
13Charlie McAvoy0X100.008559769175919087257554844168727350002444,900,000$
14Jake Muzzin0X100.008746897780817659255748877576806550003314,000,000$
15Vladislav Gavrikov0X100.008145768379869365257148952563636850002611,350,000$
16Nick Jensen0X100.008354907470789061255549902566676650003122,500,000$
17Ben Hutton0X100.007187848178677458255248757570706250002911,500,000$
18Nikita Zaitsev0X100.008645868070788460255148942567676550003024,500,000$
Rayé
Équipe Mineure
1Jan Jenik (R)0X100.00849176746457736543586865254545685000212902,500$
2Jack Drury (R)0X100.00676375716362626379626060574444625000223925,000$
3Jesse Ylonen (R)0X100.00634195666959746825666661254545665000222925,000$
4Jack Badini (R)0XX100.00777386687354564860454562434444535000242815,000$
5Kevin Stenlund0XX100.00828185718163646176595770545353635000251925,000$
6Rasmus Asplund0XXX100.00634195776767817039695968255959665000241925,000$
7Tyler Benson0X100.00814482677052676225535660254747605000241863,333$
8Charles Hudon0XX100.00706876636857556650606863654444665000272650,000$
9Michael McCarron0XX100.00889963699157626483626678255757685000271750,000$
10Sonny Milano0X100.006341948370706476257572602559597150002631,700,000$
11Antoine Morand (R)0X100.00726687676662665063474760454444555000231927,500$
12Connor Dewar0XX100.00796380656656696256605774254747645000221925,000$
13Brendan Guhle0X100.00757378797357614725354164395959535000241888,833$
14Cale Fleury0X100.00864699747765706025394775254848595000231883,333$
15Gabriel Carlsson0X100.00694391787860576025534871255858605000251725,000$
16Donovan Sebrango (R)0X100.00767189637160654425343960374444505000202925,000$
17Kaedan Korczak (R)0X100.00767482737456584925434061384444535000212905,000$
18Drew Helleson (R)0X100.00787391697338374525363961374444505000213650,000$
19Riley Stillman0X100.00889380767567655725544878255757635000241900,000$
20Ville Heinola0X100.007142778064666462256947692546466250002111,137,500$
21Mike Reilly0X100.0078448681727788652554487125656662500X02811,500,000$
22Bryce Misley (R)0X100.00716975626942415063385659534444545000222650,000$
23Ryan Jones0X100.00787877637865704950474662444444555000262650,000$
MOYENNE D’ÉQUIPE100.0076518682757687745471707744697174500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ilya Sorokin (R)100.00897574789286818890898353548550002622,000,000$
2Mackenzie Blackwood100.0061686790655669616561665959635000252913,333$
Rayé
Équipe Mineure
1Colton Point (R)100.0045465895454545504545454444465000242750,000$
2Jakub Skarek (R)100.0048445581494950545050304444495000221927,500$
MOYENNE D’ÉQUIPE100.007572718479717575787575565774500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella84888777907552USA6424,500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Ben HuttonBlue JacketsD291993-04-19No206 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$NoLien
Brandon SaadBlue JacketsLW/RW291992-10-26No206 Lbs6 ft1NoNoNo1Pro & Farm6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$NoLien
Charlie McAvoyBlue JacketsD241997-12-20No208 Lbs6 ft0NoNoNo4Pro & Farm4,900,000$4,900,000$4,900,000$4,900,000$4,900,000$4,900,000$No4,900,000$4,900,000$4,900,000$Lien
Christian DvorakBlue JacketsC/LW261996-02-01No195 Lbs6 ft0NoNoNo4Pro & Farm4,450,000$4,450,000$4,450,000$4,450,000$4,450,000$4,450,000$No4,450,000$4,450,000$4,450,000$Lien
Craig SmithBlue JacketsRW321989-09-05No208 Lbs6 ft1NoNoNo2Pro & Farm3,100,000$3,100,000$3,100,000$3,100,000$3,100,000$3,100,000$No3,100,000$Lien
Elias LindholmBlue JacketsC/RW271994-12-02No195 Lbs6 ft1NoNoNo3Pro Only4,850,000$4,850,000$4,850,000$4,850,000$4,850,000$4,850,000$No4,850,000$4,850,000$Lien
Frank VatranoBlue JacketsLW/RW281994-03-14No197 Lbs5 ft11NoNoNo2Pro & Farm2,533,333$2,533,333$3,131,330$3,131,330$2,533,333$2,533,333$No2,533,333$Lien
Ilya SorokinBlue JacketsG261995-08-03Yes190 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$No2,000,000$Lien
Jack RoslovicBlue JacketsC/RW251997-01-29No187 Lbs6 ft1NoNoNo1Pro & Farm1,838,362$1,838,362$1,838,362$1,838,362$1,838,362$1,838,362$NoLien
Jake MuzzinBlue JacketsD331989-02-21No217 Lbs6 ft3NoNoNo1Pro & Farm4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$NoLien
Joel Eriksson EkBlue JacketsC251997-01-29No208 Lbs6 ft3NoNoNo1Pro & Farm5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$NoLien
Mackenzie BlackwoodBlue JacketsG251996-09-12No225 Lbs6 ft4NoNoNo2Pro & Farm913,333$913,333$913,333$913,333$913,333$913,333$No913,333$Lien
Nazem KadriBlue JacketsC311990-10-06No192 Lbs6 ft0NoNoNo3Pro & Farm4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$No4,500,000$4,500,000$Lien
Nick JensenBlue JacketsD311990-09-20No194 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$Lien
Nicolas RoyBlue JacketsC/LW/RW251997-02-05No208 Lbs6 ft4NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$750,000$750,000$No750,000$750,000$Lien
Nikita ZaitsevBlue JacketsD301991-10-29No188 Lbs6 ft2NoNoNo2Pro Only4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$No4,500,000$Lien
Pavel ZachaBlue JacketsC/LW251997-04-06No210 Lbs6 ft3NoNoNo1Pro & Farm2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$NoLien
Roope HintzBlue JacketsC/LW251996-11-17No220 Lbs6 ft3NoNoNo1Pro & Farm811,667$811,667$811,667$811,667$811,667$811,667$NoLien
Tanner PearsonBlue JacketsLW291992-08-10No201 Lbs6 ft1NoNoNo1Pro & Farm3,750,000$3,750,000$3,750,000$3,750,000$3,750,000$3,750,000$NoLien
Vladislav GavrikovBlue JacketsD261995-11-21No214 Lbs6 ft3NoNoNo1Pro & Farm1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.55203 Lbs6 ft21.903,087,335$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
61,746,695$34,996,666$19,450,000$9,350,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias Lindholm35122
2Roope HintzBrandon Saad30122
3Tanner PearsonCraig Smith25122
4Frank Vatrano10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Muzzin35122
2Nikita Zaitsev30122
3Nick JensenVladislav Gavrikov25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roope HintzElias Lindholm60122
2Brandon Saad40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Muzzin60122
2Vladislav Gavrikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner Pearson60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Muzzin60122
2Vladislav GavrikovNikita Zaitsev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake Muzzin60122
240122Vladislav GavrikovNikita Zaitsev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Elias Lindholm60122
2Roope Hintz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Muzzin60122
2Vladislav Gavrikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias LindholmJake Muzzin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias LindholmNikita ZaitsevNick Jensen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Frank Vatrano, Roope Hintz, , Frank VatranoBrandon Saad
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nick Jensen, Vladislav GavrikovNick Jensen, Vladislav Gavrikov
Tirs de pénalité
, Jake Muzzin, Elias Lindholm, ,
Gardien
#1 : , #2 : Mackenzie Blackwood
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité61445000200040001000
Prix des billets120704535300
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$18144100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 61,746,695$ 62,344,692$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 30,770,827$ 30,770,827$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 85,000,000$ 85,000,000$ -60,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Roope HintzAGE:25PO:84OV:0
Brandon SaadAGE:29PO:79OV:0
Christian DvorakAGE:26PO:76OV:0
Tanner PearsonAGE:29PO:75OV:0
Nicolas RoyAGE:25PO:74OV:0
Pavel ZachaAGE:25PO:74OV:0
Frank VatranoAGE:28PO:73OV:0
Sonny MilanoAGE:26PO:71OV:0
Rasmus AsplundAGE:24PO:66OV:0
Charles HudonAGE:27PO:66OV:0
Connor DewarAGE:22PO:64OV:0
Tyler BensonAGE:24PO:60OV:0
Jack Badini (R)AGE:24PO:53OV:0
Elias LindholmAGE:27PO:87OV:0
Nazem KadriAGE:31PO:84OV:0
Roope HintzAGE:25PO:84OV:0
Joel Eriksson EkAGE:25PO:82OV:0
Christian DvorakAGE:26PO:76OV:0
Jack RoslovicAGE:25PO:76OV:0
Nicolas RoyAGE:25PO:74OV:0
Pavel ZachaAGE:25PO:74OV:0
Jan Jenik (R)AGE:21PO:68OV:0
Michael McCarronAGE:27PO:68OV:0
Rasmus AsplundAGE:24PO:66OV:0
Connor DewarAGE:22PO:64OV:0
Kevin StenlundAGE:25PO:63OV:0
Jack Drury (R)AGE:22PO:62OV:0
Antoine Morand (R)AGE:23PO:55OV:0
Bryce Misley (R)AGE:22PO:54OV:0
Jack Badini (R)AGE:24PO:53OV:0
Elias LindholmAGE:27PO:87OV:0
Brandon SaadAGE:29PO:79OV:0
Jack RoslovicAGE:25PO:76OV:0
Craig SmithAGE:32PO:74OV:0
Nicolas RoyAGE:25PO:74OV:0
Frank VatranoAGE:28PO:73OV:0
Michael McCarronAGE:27PO:68OV:0
Jesse Ylonen (R)AGE:22PO:66OV:0
Rasmus AsplundAGE:24PO:66OV:0
Charles HudonAGE:27PO:66OV:0
Kevin StenlundAGE:25PO:63OV:0

Défense #1Défense #2Gardien
Charlie McAvoyAGE:24PO:73OV:0
Vladislav GavrikovAGE:26PO:68OV:0
Nick JensenAGE:31PO:66OV:0
Jake MuzzinAGE:33PO:65OV:0
Nikita ZaitsevAGE:30PO:65OV:0
Riley StillmanAGE:24PO:63OV:0
Ville HeinolaAGE:21PO:62OV:0
Ben HuttonAGE:29PO:62OV:0
Mike ReillyAGE:28PO:62OV:0
Gabriel CarlssonAGE:25PO:60OV:0
Cale FleuryAGE:23PO:59OV:0
Ryan JonesAGE:26PO:55OV:0
Brendan GuhleAGE:24PO:53OV:0
Kaedan Korczak (R)AGE:21PO:53OV:0
Donovan Sebrango (R)AGE:20PO:50OV:0
Drew Helleson (R)AGE:21PO:50OV:0
Ilya Sorokin (R)AGE:26PO:85OV:0
Mackenzie BlackwoodAGE:25PO:63OV:0
Jakub Skarek (R)AGE:22PO:49OV:0
Colton Point (R)AGE:24PO:46OV:0

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Albert JohanssonBlue Jackets201983
Alexander SuzdalevBlue Jackets202258
Carter MazurBlue Jackets202266
Cole FraserBlue Jackets
Colton DachBlue Jackets202244
David JiricekBlue Jackets20226
Dylan DukeBlue Jackets202288
Filip BystedtBlue Jackets202236
Jacob GoldenBlue Jackets398
Jaromir PytlikBlue Jackets202051
John LudvigBlue Jackets201993
Lucas EdmondsBlue Jackets202280
Luke ProkopBlue Jackets202095
Markus NutivaaraBlue JacketsLien
Matthew CairnsBlue Jackets264
Matthew KniesBlue Jackets202242
Mike KosterBlue Jackets201990
Nick MoutreyBlue JacketsLien
Oscar DanskBlue JacketsLien
Pascal LabergeBlue Jackets220Lien
Roman SchmidtBlue Jackets202296
Rutger McGroartyBlue Jackets202214
Ryker EvansBlue Jackets202239
Simon ForsmarkBlue Jackets202282
Simon KubicekBlue Jackets202073
Tyler KlevenBlue Jackets202029
Tyson GallowayBlue Jackets2022110

Choix au repêchage

Année R1R2R3R4R5
2023
2024
2025
2026
2027




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2022-07-18 18:07:28] - Blue Jackets drafts Simon Forsmark as the #82 overall pick in the Entry Draft of year 2022.
[2022-07-18 18:07:07] - Blue Jackets drafts Lucas Edmonds as the #80 overall pick in the Entry Draft of year 2022.
[2022-07-16 10:36:25] - Blue Jackets drafts Alexander Suzdalev as the #58 overall pick in the Entry Draft of year 2022.
[2022-07-12 20:43:36] - Blue Jackets drafts Filip Bystedt as the #36 overall pick in the Entry Draft of year 2022.
[2022-07-09 18:58:53] - Blue Jackets drafts Rutger McGroarty as the #14 overall pick in the Entry Draft of year 2022.
[2022-07-09 18:57:44] - Blue Jackets drafts David Jiricek as the #6 overall pick in the Entry Draft of year 2022.
[2022-06-30 15:21:03] - Gustav Nyquist was released.
[2022-06-30 15:21:03] - Blue Jackets paid 0 $ to release Gustav Nyquist.
[2022-06-30 15:21:00] - Christopher Gibson was released.
[2022-06-30 15:21:00] - Blue Jackets paid 0 $ to release Christopher Gibson.
[2022-06-30 15:20:29] - Jamie Benn was released.
[2022-06-30 15:20:29] - Blue Jackets paid 0 $ to release Jamie Benn.
[2022-06-30 15:20:27] - Evander Kane was released.
[2022-06-30 15:20:27] - Blue Jackets paid 0 $ to release Evander Kane.
[2022-06-30 15:20:13] - Pavel Zacha signed with Blue Jackets for 2 250 000 $ for 1 year(s).
[2022-06-30 15:20:13] - Pavel Zacha was added to Blue Jackets.
[2022-06-30 15:19:29] - Nazem Kadri signed with Blue Jackets for 4 500 000 $ for 3 year(s).
[2022-06-30 15:19:29] - Nazem Kadri was added to Blue Jackets.
[2022-06-30 15:19:11] - Joel Eriksson Ek signed with Blue Jackets for 5 250 000 $ for 1 year(s).
[2022-06-30 15:19:11] - Joel Eriksson Ek was added to Blue Jackets.
[2022-06-30 15:18:39] - Jack Drury signed with Blue Jackets for 925 000 $ for 3 year(s).
[2022-06-30 15:18:39] - Jack Drury was added to Blue Jackets.
[2022-06-30 15:18:23] - Gabriel Carlsson signed with Blue Jackets for 725 000 $ for 1 year(s).
[2022-06-30 15:18:23] - Gabriel Carlsson was added to Blue Jackets.
[2022-06-30 15:17:56] - Drew Helleson signed with Blue Jackets for 650 000 $ for 3 year(s).
[2022-06-30 15:17:56] - Drew Helleson was added to Blue Jackets.
[2022-06-30 15:17:33] - Colton Point signed with Blue Jackets for 750 000 $ for 2 year(s).
[2022-06-30 15:17:33] - Colton Point was added to Blue Jackets.
[2022-06-30 15:17:13] - Christian Dvorak signed with Blue Jackets for 4 450 000 $ for 4 year(s).
[2022-06-30 15:17:13] - Christian Dvorak was added to Blue Jackets.
[2022-06-30 15:16:55] - Charlie McAvoy signed with Blue Jackets for 4 900 000 $ for 4 year(s).
[2022-06-30 15:16:55] - Charlie McAvoy was added to Blue Jackets.
[2022-06-25 08:44:53] - TRADE : From Senators to Blue Jackets : Jack Roslovic, Y:2022-RND:1-OTT.
[2022-06-25 08:44:53] - TRADE : From Blue Jackets to Senators : Devon Toews.
[2022-06-25 08:27:10] - Tuukka Rask was released.
[2022-06-25 08:27:07] - Tuukka Rask retired from Blue Jackets



[2022-08-13 09:47:40] Monsters roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2022-08-13 09:47:35] (5 000 000 $) was added to Blue Jackets bank account.
[2022-08-03 19:46:33] (469 393 $) was added to Blue Jackets bank account.
[2022-08-03 19:46:18] Monsters roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2022-08-02 22:08:53] Blue Jackets wins 12 422 388 $ in Income Divider.
[2022-08-02 21:53:08] Monsters roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2022-08-02 21:53:04] (5 000 000 $) was added to Blue Jackets bank account.
[2022-07-18 18:07:28] Blue Jackets drafts Simon Forsmark as the #82 overall pick in the Entry Draft of year 2022.
[2022-07-18 18:07:07] Blue Jackets drafts Lucas Edmonds as the #80 overall pick in the Entry Draft of year 2022.
[2022-07-16 10:36:25] Blue Jackets drafts Alexander Suzdalev as the #58 overall pick in the Entry Draft of year 2022.
[2022-07-12 20:43:36] Blue Jackets drafts Filip Bystedt as the #36 overall pick in the Entry Draft of year 2022.
[2022-07-09 18:58:53] Blue Jackets drafts Rutger McGroarty as the #14 overall pick in the Entry Draft of year 2022.
[2022-07-09 18:57:44] Blue Jackets drafts David Jiricek as the #6 overall pick in the Entry Draft of year 2022.



Pas de blessure ou de suspension.


Blue Jackets Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blue Jackets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Blue Jackets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Blue Jackets Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blue Jackets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA